Resource directory
Find what you need for your workflow.
Guides: techniques, setup, and troubleshootingSearch Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
All resources
20 shown of 42,248
ArSL Models
Two PyTorch models for Arabic Sign Language (ArSL) recognition, used by the CSLR app (deployed as a Hugging Face Space):
Pedsense Yolo26m Pose Jaad 10e
A pedestrian keypoint detection model fine-tuned on the JAAD (Joint Attention in Autonomous Driving) dataset using the PedSense-AI framework. Detects pedestrians and predicts 17 COCO body keypoints per person.
ControlNet Inpainting Shuffle Processedpromp Changemask Condition Random Mask
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Cartographic ControlNet
This repository contains ControlNet models for generating accurate maps in controlled styles, as discussed in our paper: Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers.
Cancer Image Generation
This is a Deep Convolutional Generative Adversarial Network (DCGAN) implemented in PyTorch. It is trained to generate synthetic images that resemble the target dataset distribution.
Peptide VAE Amp
PeptideVAE is a Transformer-based Variational Autoencoder (VAE) designed for the analysis and design of antimicrobial peptides (AMPs). It leverages hyperbolic geometry (Poincaré ball) to learn a structured latent...
CosyVoice2 KO SFT v6 Epoch3
한국어 억양과 감정·발화 스타일을 강화하기 위해 CosyVoice2-0.5B의 LLM 부분을 supervised fine-tuning한 community checkpoint입니다. Claude와 Codex에 연결하는 로컬 MCP는 cosyvoice2-ko-sft-mcp 저장소에서 제공합니다.
F5 TTS German ONNX
Pure-ONNX export of the German F5-TTS voice-cloning model hvoss-techfak/F5-TTS-German, runnable with plain ONNX Runtime — no PyTorch, no Python required at inference time. This makes it easy to embed German...
ERNIE Image Quants
Mixed FP8 - Mostly fp8e4m3 some are not quantized, fast.
Ffdetr Filled
Fine-tune of jbarrow/FFDetr (RF-DETR Medium) that detects form fields even when they already contain values — typed text, handwriting, checkbox marks, signatures — on both born-digital and scanned pages. The base...
4xTextureDAT2 Otf
Name: 4xTextureDAT2otf Author: Philip Hofmann Release: 13.12.2023 License: CC BY 4.0 Network: DAT Arch Option: DAT2 Scale: 4 Purpose: 4x texture image upscaler, handling jpg compression, some noise and slight blur...
Senti Whisper Full Model
A single model that transcribes speech and classifies its sentiment (negative / neutral / positive) in one pass, using the acoustic signal (prosody, tone, energy) that a text-only sentiment pipeline throws away.
My ControlNet Model
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
Mnist Conditional Gan
Conditional Generative Adversarial Network (CGAN) for handwritten digit synthesis, trained on the MNIST dataset.
DreamFrame Related
This repository contains the model described in DreamFrame: Enhancing Video Understanding via Automatically Generated QA and Style-Consistent Keyframes.
Ogasawara Hisame RVC Mineuchi
japanese base to all the language 基于岭内知美版小笠原绯雨日语语音训练,理论上支持所有语言 本模型仅用于学术交流与个人同人爱好分享,严禁用于任何商业用途。若因使用本模型引发任何侵权或法律纠纷,由使用者自行承担,与模型制作者无关。如版权方(WFS/Key)认为有所妥,请联系删除。
Dinov2 Vits14 Candle
dinov2-vits14.safetensors — DINOv2 ViT-S/14 weights packed into the layout expected by the candle framework's dinov2::vitsmall model. Drop-in for on-device image feature extraction in Rust.
Speechbrain Lang Id Voxlingua107 Ecapa Onnx
This repository contains an ONNX export of speechbrain/lang-id-voxlingua107-ecapa, a SpeechBrain ECAPA-TDNN language-identification model trained for VoxLingua107 language classification.
Deepfake Detection Cifake
Trained checkpoints for a deepfake image detection project using a hybrid Vision Transformer + DCT frequency-domain architecture.
Qrcode ControlNet v1
These are controlnet weights trained on benjamin-paine/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
